The up-coming technology such as Federated Learning will change the responsibility of storing personal data radically ...

Scientists at Bambino Gesu Children’s Hospital in Rome have grown three-dimensional tumor models from pediatric brain cancer ...

Researchers from BUPT and CUHK-SZ propose FedSIN to tackle heterogeneity and dynamic contributions in non-Euclidean federated ...

As an undergraduate astrophysics student at Peking University, I met Professor Charles Townes, the Nobel Prize-winning ...

Regulatory pressure from GxP, 21 CFR Part 11, and AI/ML guidance elevates requirements for audit trails, data lineage, ...

In an era where data breaches make headlines weekly and privacy regulations tighten globally, artificial intelligence faces a ...

Abstract: Federated learning enables participants to collaboratively train a global model through distributed training without sharing raw data. However, this distributed training is vulnerable to ...

Abstract: In the Internet of Things (IoT) environment, to maintain the global consistency and generalization capability of federated learning (FL) models with good data privacy, a personalized FL ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...